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Are we moving towards an energy-efficient low-carbon economy? An input-output LMDI decomposition of CO2 emissions for Spain and the EU28. (2021). Serrano-Puente, Darío.
In: Working Papers.
RePEc:bde:wpaper:2104.

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    In: LSE Research Online Documents on Economics.
    RePEc:ehl:lserod:116687.

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  13. Spatial effects of dynamic comprehensive energy efficiency on CO2 reduction in China. (2022). Dong, Cong ; Jiang, Qingzhe ; Abudureheman, Maliyamu.
    In: Energy Policy.
    RePEc:eee:enepol:v:166:y:2022:i:c:s030142152200249x.

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  14. Do energy efficiency improvements reduce energy use? Empirical evidence on the economy-wide rebound effect in Europe and the United States. (2022). Stern, David ; Moneta, Alessio ; Bruns, Stephan ; Berner, Anne.
    In: Energy Economics.
    RePEc:eee:eneeco:v:110:y:2022:i:c:s014098832200113x.

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  15. Firm-level energy rebound effects and relative efficiency in the German manufacturing sector. (2022). Silbersdorff, Alexander ; Lange, Steffen ; Berner, Anne.
    In: Energy Economics.
    RePEc:eee:eneeco:v:109:y:2022:i:c:s0140988322000834.

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  16. How large is the economy-wide rebound effect in middle income countries? Evidence from Iran. (2022). Stern, David ; Bruns, Stephan B ; Jafari, Mahboubeh.
    In: Ecological Economics.
    RePEc:eee:ecolec:v:193:y:2022:i:c:s0921800921003840.

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  17. How does market-oriented reform influence the rebound effect of China’s mining industry?. (2022). Lin, Boqiang ; Zhu, Runqing.
    In: Economic Analysis and Policy.
    RePEc:eee:ecanpo:v:74:y:2022:i:c:p:34-44.

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  18. Decomposition and measurement of the rebound effect: The case of energy efficiency improvements in Spain. (2022). Prieto, Manuela ; Ordoez, Manuel ; Cansino, Jose M.
    In: Applied Energy.
    RePEc:eee:appene:v:306:y:2022:i:pa:s030626192101268x.

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  19. .

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  20. .

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  21. Are we moving toward an energy-efficient low-carbon economy? An input–output LMDI decomposition of CO $$_{2}$$ 2 emissions for Spain and the EU28. (2021). Serrano-Puente, Darío.
    In: SERIEs: Journal of the Spanish Economic Association.
    RePEc:spr:series:v:12:y:2021:i:2:d:10.1007_s13209-020-00227-z.

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  22. Rebound effect with energy efficiency determinants: a two-stage analysis of residential electricity consumption in Indonesia. (2021). Paranata, Ade ; Firmansyah, M ; Hong, Cheng-Yih ; Adha, Rishan.
    In: MPRA Paper.
    RePEc:pra:mprapa:110444.

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  23. Estimating the propagation of the COVID-19 virus with a stochastic frontier approximation of epidemiological models: a panel data econometric model with an application to Spain. (2021). Wall, Alan ; Álvarez, Inmaculada ; Alvarez, Inmaculada C ; Orea, Luis.
    In: Efficiency Series Papers.
    RePEc:oeg:wpaper:2021/01.

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  24. Energy efficiency and economy-wide rebound effects: A review of the evidence and its implications. (2021). Semieniuk, Gregor ; Court, Victor ; Heun, Matthew Kuperus ; Sorrell, Steve ; Brockway, Paul E.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:141:y:2021:i:c:s1364032121000769.

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  25. Energy efficiency in general equilibrium with input–output linkages. (2021). Moreno-Cruz, Juan ; Blackburn, Christopher J.
    In: Journal of Environmental Economics and Management.
    RePEc:eee:jeeman:v:110:y:2021:i:c:s0095069621000887.

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  26. Towards energy conservation by improving energy efficiency? Evidence from China’s metallurgical industry. (2021). Lin, Boqiang ; Wang, Siquan ; Xu, Mengmeng.
    In: Energy.
    RePEc:eee:energy:v:216:y:2021:i:c:s0360544220323628.

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  27. Modelling asymmetric price responses of industrial energy demand with a dynamic hierarchical model. (2021). Sharimakin, Akinsehinwa.
    In: Energy Economics.
    RePEc:eee:eneeco:v:98:y:2021:i:c:s0140988321001602.

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  28. A general equilibrium model of macroeconomic rebound effect: A broader view. (2021). Fagundes, Edmar Luiz ; da Rocha, Felipe Freitas.
    In: Energy Economics.
    RePEc:eee:eneeco:v:98:y:2021:i:c:s0140988321001377.

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  29. The underlying drivers of economy-wide energy efficiency and asymmetric energy price responses. (2021). Tajudeen, Ibrahim A.
    In: Energy Economics.
    RePEc:eee:eneeco:v:98:y:2021:i:c:s0140988321001274.

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  30. Estimating the economy-wide rebound effect using empirically identified structural vector autoregressions. (2021). Stern, David ; Moneta, Alessio ; Bruns, Stephan B.
    In: Energy Economics.
    RePEc:eee:eneeco:v:97:y:2021:i:c:s0140988321000633.

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  31. Has the water rights system reform restrained the water rebound effect? Empirical analysis from Chinas agricultural sector. (2021). Ma, Ding ; Wei, Xin ; Xie, Mengyuan ; Fei, Rilong.
    In: Agricultural Water Management.
    RePEc:eee:agiwat:v:246:y:2021:i:c:s0378377420322344.

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  32. Are we moving towards an energy-efficient low-carbon economy? An input-output LMDI decomposition of CO2 emissions for Spain and the EU28. (2021). Serrano-Puente, Darío.
    In: Working Papers.
    RePEc:bde:wpaper:2104.

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  33. Rebound Effect from Income Savings Due to an Energy Efficiency Improvement by Households: An Input–Output Approach. (2020). Wang, Xue ; Wei, Taoyuan.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:16:p:4044-:d:394633.

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  34. How large is the economy-wide rebound effect?. (2020). Stern, David.
    In: Energy Policy.
    RePEc:eee:enepol:v:147:y:2020:i:c:s0301421520305863.

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  35. A review of optimal energy policy instruments on industrial energy efficiency programs, rebound effects, and government policies. (2020). Hejazi, Seyed Reza ; Rasti-Barzoki, Morteza ; Safarzadeh, Soroush.
    In: Energy Policy.
    RePEc:eee:enepol:v:139:y:2020:i:c:s0301421520300999.

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  36. Estimating the Economy-Wide Rebound Effect Using Empirically Identified Structural Vector Autoregressions. (2019). Stern, David ; Moneta, Alessio ; Bruns, Stephan B.
    In: LEM Papers Series.
    RePEc:ssa:lemwps:2019/27.

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  37. Economy-wide estimates of energy rebound effect: Evidence from Chinas provinces. (2019). Du, Kerui ; Ouyang, Xiaoling.
    In: Energy Economics.
    RePEc:eee:eneeco:v:83:y:2019:i:c:p:389-401.

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  38. Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis. (2019). Lee, Jonathan ; Boyd, Gale A.
    In: Energy Economics.
    RePEc:eee:eneeco:v:81:y:2019:i:c:p:159-174.

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  39. Does market-oriented reform increase energy rebound effect? Evidence from Chinas regional development. (2019). Du, Kerui ; Liu, Hongxun.
    In: China Economic Review.
    RePEc:eee:chieco:v:56:y:2019:i:c:9.

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  40. How significant is energy efficiency to mitigate CO2 emissions? Evidence from OECD countries. (2018). Wossink, Ada ; Banerjee, Prasenjit ; Tajudeen, Ibrahim A.
    In: Energy Economics.
    RePEc:eee:eneeco:v:72:y:2018:i:c:p:200-221.

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  41. Assessing the Rebound Effect in Energy Intensive Industries: A Factor Demand Model Approach with Asymmetric Price Response. (2017). Marklund, Per-Olov ; Lundgren, Tommy ; Dahlqvist, Anna.
    In: Working Papers.
    RePEc:hhs:nierwp:0150.

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  42. The environmental impacts of green technologies in TX. (2017). Spiller, Elisheba ; Zhang, Xinxing ; Mirzatuny, Marita ; Martin, Nicholas ; Sopher, Peter.
    In: Energy Economics.
    RePEc:eee:eneeco:v:68:y:2017:i:c:p:199-214.

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  43. The macroeconomic rebound effect in China. (2017). Lin Lawell, C.-Y. Cynthia ; Zhang, Jiangshan ; Lin Lawell, C.-Y. Cynthia, .
    In: Energy Economics.
    RePEc:eee:eneeco:v:67:y:2017:i:c:p:202-212.

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  44. Measuring Plant Level Energy Efficiency and Technical Change in the U.S. Metal-Based Durable Manufacturing Sector Using Stochastic Frontier Analysis. (2016). Lee, Jonathan ; Boyd, Gale.
    In: Working Papers.
    RePEc:cen:wpaper:16-52.

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